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Google Search Console: Request indexing

google-search-console_request_indexing

Google Search Console: Press Request indexing for one URL, which puts it in Google's indexing queue. Presses Request indexing in the URL Inspection tool. If the page passes a quick check, Google adds it to the indexing queue, and refuses when the live test finds the page non-indexable. Request indexing allows about 10 requests a day per Google account, shared across all its properties; every call spends one, and when it is spent the call returns quota_exceeded and submits nothing. A request does not guarantee the page appears in Google. It reaches no one, so it runs without asking first; the agent counts the quota instead. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesFull URL inside the property, e.g. https://example.com/blog/new-post.
propertyYesProperty as Search Console lists it: sc-domain:example.com for a Domain property, https://example.com/ for a URL-prefix property.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With annotations covering only the safety profile, the description adds substantial behavioral context: a hard 10-requests/day/account quota shared across properties, the quota_exceeded return with no submission, no guarantee of indexing, the non-interactive 'runs without asking first' behavior, and the required Cotlet API key. This is far beyond what the annotations convey.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose is front-loaded, but the text is padded with repetition ('Press Request indexing' and 'adds it to the indexing queue' appear twice) and the API-key sentence sits awkwardly at the end. Every sentence roughly earns its place, but it could be tightened.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, yet the description covers the meaningful return behavior (quota_exceeded, no submission), the quota ceiling, and the non-guarantee caveat. For a two-parameter mutation tool, an agent has everything needed to call it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so both url and property are already fully documented with format examples. The description adds no parameter-level detail, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ('Request indexing for one URL, which puts it in Google's indexing queue') and clarifies it maps to the URL Inspection tool. It is unambiguous, though it never names a sibling to differentiate against, e.g. submit_sitemap or inspect_url.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It describes the quota context and the refusal condition, which implies when the call will succeed or fail, but offers no explicit when-to-use versus alternatives (e.g. use inspect_url first). Usage is implied rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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